{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6d6475cc",
   "metadata": {},
   "source": [
    "# 机器学习与量化策略\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b749521",
   "metadata": {},
   "source": [
    "https://blog.csdn.net/weixin_46277779/article/details/128442624\n",
    "\n",
    "机器学习在量化投资策略中的应用\n",
    "\n",
    "https://www.ainumeric.com/article/ml_finance.php\n",
    "\n",
    "分层聚类\n",
    "\n",
    "https://medium.com/@orenji.eirl/hierarchical-risk-parity-with-python-and-riskfolio-lib-c0e60b94252e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bc55a7d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import pandas as pd  \n",
    "import talib\n",
    "from datetime import datetime\n",
    "import backtrader as bt\n",
    "import matplotlib.pyplot as plt\n",
    "import akshare as ak\n",
    "import numpy as np\n",
    "%matplotlib inline   \n",
    "\n",
    "#正常显示画图时出现的中文和负号\n",
    "from pylab import mpl\n",
    "\n",
    "mpl.rcParams['font.sans-serif']=['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "93c2e97c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取全量数据\n",
    "def read_hq():\n",
    "    \n",
    "    conn=sqlite3.connect(r'F:\\BaiduNetdiskDownload\\stock_2018_daily\\stock_2018.db')\n",
    "    #stock_daily=pd.read_sql(\"select * from stock_daily\",con=conn)\n",
    "    stock_daily=pd.read_sql(\"select * from stock_daily where 股票代码>'003000.SZ'\",con=conn)\n",
    "\n",
    "    stock_daily.columns=['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close', 'volume',\n",
    "           '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)', '市净率',\n",
    "           '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)', '流通股本(万股)',\n",
    "           '总市值(万元)', '流通市值(万元)']\n",
    "    stock_daily[\"date\"]=stock_daily[\"date\"].astype(\"str\").astype(\"datetime64[ns]\")\n",
    "    stock_daily.set_index(\"date\",inplace=True,drop=False)\n",
    "    stock_daily.index.names = ['date_index']\n",
    "    stock_daily[\"openinterest\"]=0\n",
    "    return stock_daily\n",
    "\n",
    "#从全量数据中抽取个别股票数据\n",
    "def get_data_1(syboml,time,stock_d):\n",
    "    stock=stock_d[stock_d[\"股票代码\"]==syboml][[\"open\",\"high\",\"low\",\"close\",\"volume\",\"openinterest\"]]\n",
    "    stock=pd.concat([stock,time],axis=1).fillna(method=\"bfill\").fillna(method=\"ffill\")\n",
    "    #stock=pd.concat([stock,time],axis=1).fillna(-1)#对每只股票缺失的交易日进行补齐\n",
    "    return stock[[\"open\",\"high\",\"low\",\"close\",\"volume\",\"openinterest\"]]\n",
    "\n",
    "\n",
    "#定义单个交易日中的策略\n",
    "class my_strategy_date_2(bt.Strategy):\n",
    "    #全局设定交易策略的参数\n",
    "    cash_value={}\n",
    "    params = (\n",
    "        (\"sell_d\",{}),(\"buy_d\",{})  # 注意要有逗号！！\n",
    "    )\n",
    "\n",
    "    def __init__(self):\n",
    "        # 初始化交易指令、买卖价格和手续费\n",
    "        self.order = None\n",
    "\n",
    "    #单个交易日中的策略：先比较当天是否在买入或者卖出的日期中，如果在就获取日期对应的股票列表进行买卖操作\n",
    "    def next(self):\n",
    "        # 检查是否持仓 \n",
    "        #print(str(self.datetime.date(0)))\n",
    "        self.cash_value.update({str(self.datetime.date(0)):self.broker.getvalue()})#记录持仓\n",
    "        if str(self.datetime.date(0)) in self.params.sell_d.keys(): # 卖出目标股票\n",
    "            s_list=self.params.sell_d[str(self.datetime.date(0))]\n",
    "            for i in s_list:\n",
    "                self.order_target_percent(target=0,data=i)\n",
    "        if str(self.datetime.date(0)) in self.params.buy_d.keys(): # 买入目标股票\n",
    "            s_list=self.params.buy_d[str(self.datetime.date(0))]\n",
    "            for i in s_list:\n",
    "                self.order_target_percent(target=0.9/len(s_list),data=i)\n",
    "                \n",
    "\n",
    "    # 下面两个函数log与notify_order都是为了在交易过程中输出交易记录和其他信息        \n",
    "    def log(self, txt, dt=None):\n",
    "        ''' 输出日志'''\n",
    "        dt = dt or self.datas[0].datetime.date(0) # 拿现在的日期\n",
    "        print('%s, %s' % (dt.isoformat(), txt))\n",
    "\n",
    "    def notify_order(self, order):\n",
    "        if order.status in [order.Submitted, order.Accepted]:\n",
    "            # Buy/Sell order submitted/accepted to/by broker - Nothing to do\n",
    "            return\n",
    "\n",
    "        # Check if an order has been completed\n",
    "        # Attention: broker could reject order if not enough cash\n",
    "        if order.status in [order.Completed, order.Canceled, order.Margin]:\n",
    "            if order.isbuy():\n",
    "                self.log(f\"\"\"买入{order.data._name}, 成交量{order.executed.size}，成交价{order.executed.price:.2f}\"\"\")\n",
    "            elif order.issell():\n",
    "                self.log(f\"\"\"卖出{order.data._name}, 成交量{order.executed.size}，成交价{order.executed.price:.2f}\"\"\")\n",
    "            self.bar_executed = len(self)\n",
    "\n",
    "        # Write down: no pending order\n",
    "        self.order = None\n",
    "\n",
    "#读入策略并在所有交易日执行\n",
    "def huice_run_num(start,end,buy_date,sell_date,stock_daily_x,stock_list,strategy):\n",
    "\n",
    "    #实例化一个交易程序\n",
    "    cerebro = bt.Cerebro()\n",
    "\n",
    "    #把所有涉及到的股票数据塞入交易程序\n",
    "    time_jy=pd.Series(range(0,len(stock_daily_x.date.unique())),index=stock_daily_x.date.unique()).sort_index()#构建包含所有交易日的序列\n",
    "    for i in stock_list:#逐个输入涉及到的所有股票数据\n",
    "        stock=get_data_1(i,time_jy,stock_daily_x)\n",
    "        data = bt.feeds.PandasData(dataname=stock,fromdate=start,todate=end)           \n",
    "        cerebro.adddata(data,name=i) \n",
    "    \n",
    "    #交易程序读入对应策略\n",
    "    cerebro.addstrategy(strategy,sell_d=sell_date,buy_d=buy_date) \n",
    "    cerebro.broker.setcash(1000000) #定义初始金额\n",
    "    cerebro.broker.setcommission(commission=0.002)#定义佣金\n",
    "\n",
    "\n",
    "    #下面是数据交易完成后的相关评估参数\n",
    "    print(start.date(),end.date())\n",
    "    print('初始资金: %.2f' % cerebro.broker.getvalue())\n",
    "    cerebro.addanalyzer(bt.analyzers.SharpeRatio, _name = 'SharpeRatio')#获得夏普率\n",
    "    cerebro.addanalyzer(bt.analyzers.DrawDown, _name='DW')#获得回撤\n",
    "    results = cerebro.run()\n",
    "    strat = results[0]\n",
    "    print('最终资金: %.2f' % cerebro.broker.getvalue())\n",
    "    print('夏普比率:', strat.analyzers.SharpeRatio.get_analysis())\n",
    "    print('回撤指标:', strat.analyzers.DW.get_analysis())\n",
    "    \n",
    "    return strategy.cash_value #这是累计收益数据，如果需要自己作图可以用这个\n",
    "    #return cerebro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b55cd22f",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily=read_hq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7580ad01",
   "metadata": {},
   "outputs": [],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_list=[\"003002.SZ\",\"003003.SZ\",\"300001.SZ\"]\n",
    "buy_date={\"2020-09-22\":[\"003002.SZ\",\"003003.SZ\"]}\n",
    "sell_date={\"2023-02-02\":[\"003002.SZ\",\"003003.SZ\"]}\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f873b68f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2020-09-23, 买入003002.SZ, 成交量38006，成交价13.02\n",
      "2020-09-23, 买入003003.SZ, 成交量27075，成交价18.28\n",
      "2023-02-03, 卖出003002.SZ, 成交量-38006，成交价20.89\n",
      "2023-02-03, 卖出003003.SZ, 成交量-27075，成交价12.09\n",
      "最终资金: 1127333.06\n",
      "夏普比率: OrderedDict([('sharperatio', 0.13881751787754126)])\n",
      "回撤指标: AutoOrderedDict([('len', 58), ('drawdown', 8.112109741974255), ('moneydown', 99523.99033479998), ('max', AutoOrderedDict([('len', 455), ('drawdown', 47.60672029972452), ('moneydown', 563812.145)]))])\n"
     ]
    }
   ],
   "source": [
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8e3e3eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cash_value=pd.Series(result)\n",
    "cash_value.plot(figsize=(12,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ce8085f",
   "metadata": {},
   "outputs": [],
   "source": [
    "index_zh_a_hist_df = ak.index_zh_a_hist(symbol=\"000300\", period=\"daily\", start_date=\"20180222\", end_date=\"20230210\")\n",
    "index_zh_a_hist_df.set_index(\"日期\",inplace=True)\n",
    "index_time=index_zh_a_hist_df[\"收盘\"][start.date().isoformat():end.date().isoformat()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b387f538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7dc245f",
   "metadata": {},
   "source": [
    "## 基于机器学习股票涨跌预测（二分类）\n",
    "\n",
    "### 股票收益预测的特征工程\n",
    "\n",
    "\n",
    "1. groupby与pct_change的联合使用 https://geek-docs.com/pandas/pandas-questions/579_pandas_pandas_groupby_multiple_columns_with_pct_change.html\n",
    "\n",
    "2.重要的函数：pct_change apply(lambda x:1 if x>0 else 0) sample(frac=0.4) rank StandardScaler().fit_transform(xy_s_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5651f050",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'openinterest'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_daily.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d7cbd818",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily[\"return_30\"]=stock_daily.groupby('股票代码').close.pct_change(30)\n",
    "stock_daily[\"return_30_shift30\"]=stock_daily.groupby('股票代码').close.pct_change(30).shift(-30)\n",
    "stock_daily[\"return_30_shift30_01\"]=stock_daily[\"return_30_shift30\"].apply(lambda x:1 if x>0 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f1efb41b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'openinterest', 'return_30',\n",
       "       'return_30_shift30', 'return_30_shift30_01'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_daily.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "891c8812",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "index                        0\n",
       "date                         0\n",
       "股票代码                         0\n",
       "股票简称                         0\n",
       "open                         0\n",
       "high                         0\n",
       "low                          0\n",
       "close                        0\n",
       "volume                       0\n",
       "成交额(千元)                      0\n",
       "换手率(%)                       5\n",
       "量比                        3109\n",
       "市盈率(静态)                 133581\n",
       "市盈率(TTM)                178112\n",
       "市盈率(动态)                  15482\n",
       "市净率                       5173\n",
       "市销率                        241\n",
       "市销率(TTM)                   679\n",
       "股息率(%)                  187357\n",
       "股息率(TTM)(%)             341124\n",
       "总股本(万股)                      5\n",
       "流通股本(万股)                     5\n",
       "总市值(万元)                      5\n",
       "流通市值(万元)                     5\n",
       "openinterest                 0\n",
       "return_30                38717\n",
       "return_30_shift30        38717\n",
       "return_30_shift30_01         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_daily.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3294cf8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily[stock_daily[\"股票代码\"]==\"300588.SZ\"][[\"return_30\",\"return_30_shift30\",\"return_30_shift30_rank\"]].to_csv(r\"stock_daily0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7f10ed5",
   "metadata": {},
   "source": [
    "### 基于分类算法的股票收益预测\n",
    "\n",
    "* 数据标准化  StandardScaler (标准化/列归一化/无量纲化)\n",
    "\n",
    "$x^{*}=(x-\\bar{X})/s$\n",
    "\n",
    "1. 作用于每一列\n",
    "\n",
    "2. 处理方法如上公式，其中$\\bar{X}$是样本的均值， s是样本的标准差\n",
    "\n",
    "3. 常用的方法是z-score标准化，经过处理后的数据均值为0，标准差为1，标准化后的变量值围绕0上下波动，大于0说明高于平均水平，小于0说明低于平均水平\n",
    "\n",
    "4. 该方法要求原始数据的分布可以近似为高斯分布，否标准化的效果会变得很糟糕\n",
    "\n",
    "5. 数据以0为中心左右分布会带来很多便利。比如在去中心化的数据上做SVD分解等价于在原始数据上做PCA；机器学习中很多函数如Sigmoid、Tanh、Softmax等都以0为中心左右分布（不一定对称）.在分类、聚类算法中，需要使用距离来度量相似性的时候、或者使用PCA技术进行降维的时候\n",
    "\n",
    "\n",
    "* 样本分割\n",
    "\n",
    "* 模型训练\n",
    "\n",
    "* 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "edd40b20",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split \n",
    "\n",
    "#回归的评价 https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "#分类的评价 https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "33edf2ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily[['市盈率(静态)','总市值(万元)']]=StandardScaler().fit_transform(stock_daily[['市盈率(静态)','总市值(万元)']].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ca26313b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date_index\n",
       "2020-10-13   -0.161409\n",
       "2020-10-14   -0.148783\n",
       "2020-10-15   -0.162398\n",
       "2020-10-16   -0.165743\n",
       "2020-10-19   -0.172987\n",
       "                ...   \n",
       "2023-02-13   -0.175340\n",
       "2023-02-14   -0.174492\n",
       "2023-02-15   -0.174800\n",
       "2023-02-16   -0.177038\n",
       "2023-02-17   -0.178581\n",
       "Name: 总市值(万元), Length: 1132749, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_daily['总市值(万元)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "3e50d714",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy=stock_daily[(stock_daily[\"date\"]>=datetime(2018,1,2))&(stock_daily[\"date\"]<=datetime(2022,1,2))][['市盈率(静态)','总市值(万元)',\"return_30_shift30_01\"]].dropna()\n",
    "xy_s=xy.sample(frac=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "1531e57c",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy_s_x=xy_s[['市盈率(静态)','总市值(万元)']].values\n",
    "xy_s_y=xy_s[\"return_30_shift30_01\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "17bfa53a",
   "metadata": {},
   "outputs": [],
   "source": [
    "x1,x2,y1,y2=train_test_split(xy_s_x,xy_s_y,test_size=0.7)#分割数据出训练集与测试集，0.7是两者行数的比例\n",
    "clf = GradientBoostingClassifier()\n",
    "clf = clf.fit(x1,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "f34ff87c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[157007,  51305],\n",
       "       [129027,  64501]], dtype=int64)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "9924975f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5512343221182561"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "dd2b8374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.35944321, 0.64055679])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1ef8c0c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 0, ..., 1, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.predict(x2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e70b69e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.31868909, 0.68131091],\n",
       "       [0.34792202, 0.65207798],\n",
       "       [0.5741619 , 0.4258381 ],\n",
       "       ...,\n",
       "       [0.49323212, 0.50676788],\n",
       "       [0.50771488, 0.49228512],\n",
       "       [0.57153577, 0.42846423]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z1=clf.predict_proba(x2)\n",
    "z1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5b81c50b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         0.681311\n",
       "1         0.652078\n",
       "2         0.425838\n",
       "3         0.480360\n",
       "4         0.480745\n",
       "            ...   \n",
       "251145    0.505222\n",
       "251146    0.621127\n",
       "251147    0.506768\n",
       "251148    0.492285\n",
       "251149    0.428464\n",
       "Length: 251150, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series(z1[:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c462763d",
   "metadata": {},
   "source": [
    "## 基于分类算法的量化策略实现方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "13d4647b",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_i=stock_daily.date.sort_values().unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ac04c07a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2022-01-06 00:00:00')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_i[975]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "dce8e773",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_i=stock_daily.date.sort_values().unique()\n",
    "top_num=5\n",
    "\n",
    "stock_list=set([])\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "\n",
    "for i in range(975,len(time_i),30):\n",
    "    stock_chi=stock_daily[(stock_daily.date==time_i[i+1])&(stock_daily.open!=stock_daily.close)][\"股票代码\"].tolist()\n",
    "    stock_oneday=stock_daily[(stock_daily.date==time_i[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",'市盈率(静态)','总市值(万元)']].dropna()\n",
    "    stock_oneday[\"scores\"]=clf.predict_proba(stock_oneday[['市盈率(静态)','总市值(万元)']].values)[:,1]\n",
    "    stock_list_z=stock_oneday.sort_values(\"scores\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    stock_list=stock_list|set(stock_list_z)\n",
    "    buy_date.update({str(time_i[i].date()):stock_list_z})\n",
    "    sell_date.update({str(time_i[i].date()):list(postion-set(stock_list_z))})\n",
    "    postion=set(stock_list_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "9a5e73ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2022-01-07, 买入300535.SZ, 成交量6491，成交价27.83\n",
      "2022-01-07, 买入300059.SZ, 成交量94，成交价1909.92\n",
      "2022-01-07, 买入300594.SZ, 成交量9290，成交价19.38\n",
      "2022-01-07, 买入300210.SZ, 成交量7566，成交价24.57\n",
      "2022-01-07, 买入300700.SZ, 成交量9404，成交价19.09\n",
      "2022-02-25, 卖出300059.SZ, 成交量-94，成交价1483.14\n",
      "2022-02-25, 卖出300210.SZ, 成交量-7566，成交价22.17\n",
      "2022-02-25, 卖出300535.SZ, 成交量-6491，成交价28.52\n",
      "2022-02-25, 卖出300594.SZ, 成交量-9290，成交价20.33\n",
      "2022-02-25, 买入300999.SZ, 成交量3651，成交价52.67\n",
      "2022-02-25, 买入300782.SZ, 成交量219，成交价881.39\n",
      "2022-02-25, 买入300408.SZ, 成交量1294，成交价149.17\n",
      "2022-02-25, 卖出300700.SZ, 成交量-3172，成交价30.87\n",
      "2022-02-25, 买入300534.SZ, 成交量4336，成交价43.00\n",
      "2022-04-12, 卖出300700.SZ, 成交量-6232，成交价21.50\n",
      "2022-04-12, 卖出300782.SZ, 成交量-219，成交价605.34\n",
      "2022-04-12, 卖出300408.SZ, 成交量-1294，成交价112.00\n",
      "2022-04-12, 卖出300999.SZ, 成交量-3651，成交价47.85\n",
      "2022-04-12, 卖出300534.SZ, 成交量-430，成交价39.55\n",
      "2022-04-12, 买入300059.SZ, 成交量112，成交价1378.12\n",
      "2022-04-12, 买入300665.SZ, 成交量8215，成交价18.82\n",
      "2022-04-12, 买入300717.SZ, 成交量6846，成交价22.66\n",
      "2022-04-12, 买入300594.SZ, 成交量9497，成交价16.29\n",
      "2022-05-27, 卖出300534.SZ, 成交量-3906，成交价33.43\n",
      "2022-05-27, 卖出300665.SZ, 成交量-8215，成交价17.62\n",
      "2022-05-27, 卖出300717.SZ, 成交量-6846，成交价21.43\n",
      "2022-05-27, 卖出300594.SZ, 成交量-9497，成交价16.04\n",
      "2022-05-27, 买入003023.SZ, 成交量6596，成交价22.76\n",
      "2022-05-27, 卖出300059.SZ, 成交量-13，成交价1521.01\n",
      "2022-05-27, 买入300760.SZ, 成交量510，成交价296.34\n",
      "2022-05-27, 买入300750.SZ, 成交量380，成交价397.58\n",
      "2022-05-27, 买入300743.SZ, 成交量6383，成交价23.26\n",
      "2022-07-11, 卖出300743.SZ, 成交量-6383，成交价25.56\n",
      "2022-07-11, 卖出300750.SZ, 成交量-380，成交价536.38\n",
      "2022-07-11, 买入003023.SZ, 成交量679，成交价22.80\n",
      "2022-07-11, 卖出300760.SZ, 成交量-1，成交价328.65\n",
      "2022-07-11, 买入300059.SZ, 成交量5，成交价1578.84\n",
      "2022-07-11, 买入300717.SZ, 成交量7348，成交价22.52\n",
      "2022-07-11, 买入300371.SZ, 成交量3593，成交价46.18\n",
      "2022-08-22, 卖出003023.SZ, 成交量-7275，成交价26.10\n",
      "2022-08-22, 卖出300717.SZ, 成交量-7348，成交价24.09\n",
      "2022-08-22, 卖出300371.SZ, 成交量-3593，成交价48.76\n",
      "2022-08-22, 买入300535.SZ, 成交量6760，成交价25.26\n",
      "2022-08-22, 买入300736.SZ, 成交量6318，成交价27.18\n",
      "2022-08-22, 买入300059.SZ, 成交量5，成交价1536.48\n",
      "2022-08-22, 买入300760.SZ, 成交量58，成交价302.61\n",
      "2022-08-22, 买入300330.SZ, 成交量12822，成交价13.15\n",
      "2022-10-11, 卖出300059.SZ, 成交量-109，成交价1170.68\n",
      "2022-10-11, 卖出300535.SZ, 成交量-6760，成交价20.70\n",
      "2022-10-11, 卖出300736.SZ, 成交量-6318，成交价28.51\n",
      "2022-10-11, 买入300609.SZ, 成交量12372，成交价12.50\n",
      "2022-10-11, 卖出300760.SZ, 成交量-65，成交价312.59\n",
      "2022-10-11, 买入300750.SZ, 成交量391，成交价406.22\n",
      "2022-10-11, 买入300675.SZ, 成交量12077，成交价12.81\n",
      "2022-10-11, 买入300330.SZ, 成交量907，成交价11.31\n",
      "2022-11-22, 卖出300609.SZ, 成交量-12372，成交价17.31\n",
      "2022-11-22, 卖出300675.SZ, 成交量-12077，成交价15.46\n",
      "2022-11-22, 买入300535.SZ, 成交量7333，成交价23.89\n",
      "2022-11-22, 买入300854.SZ, 成交量9898，成交价17.80\n",
      "2022-11-22, 买入300760.SZ, 成交量20，成交价336.30\n",
      "2022-11-22, 买入300750.SZ, 成交量63，成交价382.09\n",
      "2022-11-22, 买入300330.SZ, 成交量94，成交价12.63\n",
      "2023-01-04, 卖出300330.SZ, 成交量-13823，成交价11.72\n",
      "2023-01-04, 卖出300760.SZ, 成交量-522，成交价320.64\n",
      "2023-01-04, 卖出300535.SZ, 成交量-7333，成交价22.83\n",
      "2023-01-04, 买入301036.SZ, 成交量9470，成交价17.64\n",
      "2023-01-04, 买入300823.SZ, 成交量9573，成交价17.60\n",
      "2023-01-04, 买入300854.SZ, 成交量640，成交价15.90\n",
      "2023-01-04, 买入300920.SZ, 成交量9970，成交价16.68\n",
      "2023-01-04, 卖出300750.SZ, 成交量-28，成交价388.63\n",
      "最终资金: 1011623.98\n",
      "夏普比率: OrderedDict([('sharperatio', -0.13440157771479)])\n",
      "回撤指标: AutoOrderedDict([('len', 229), ('drawdown', 7.084445816777356), ('moneydown', 77132.35227879998), ('max', AutoOrderedDict([('len', 229), ('drawdown', 32.467052100781835), ('moneydown', 353487.0849264002)]))])\n"
     ]
    }
   ],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()\n",
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "af063077",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c7348265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.37441281, -0.20692302],\n",
       "       [-0.38786929, -0.21596323],\n",
       "       [-0.32270554, -0.22738782],\n",
       "       ...,\n",
       "       [-0.22219746, -0.04167169],\n",
       "       [ 0.01286648, -0.14690523],\n",
       "       [ 0.23222571, -0.03598058]])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_oneday[['市盈率(静态)','总市值(万元)']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f31a18fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_oneday[\"scores\"]=clf.predict_proba(stock_oneday[['市盈率(静态)','总市值(万元)']].values)[:,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6175575e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['300743.SZ', '300417.SZ', '300210.SZ', '300594.SZ', '300700.SZ']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_oneday.sort_values(\"scores\").tail(5)[\"股票代码\"].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "488f06e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 多因子策略的模版\n",
    "\n",
    "time_i=stock_daily.date.sort_values().unique()\n",
    "top_num=5\n",
    "\n",
    "stock_list=set([])\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "\n",
    "for i in range(0,len(time_i),30):\n",
    "    stock_chi=stock_daily[(stock_daily.date==time_i[i+1])&(stock_daily.open!=stock_daily.close)][\"股票代码\"].tolist()\n",
    "    stock_oneday=stock_daily[(stock_daily.date==time_i[i])&stock_daily[\"股票代码\"].isin(stock_chi)]\n",
    "    z1=stock_oneday.loc[:,'市盈率(静态)'].rank(ascending=False)+stock_oneday.loc[:,'总市值(万元)'].rank()\n",
    "    stock_list_z=pd.concat([stock_oneday[\"股票代码\"],z1],axis=1).sort_values(0)[\"股票代码\"].head(5).tolist()\n",
    "\n",
    "    stock_list=stock_list|set(stock_list_z)\n",
    "    buy_date.update({str(time_i[i].date()):stock_list_z})\n",
    "    sell_date.update({str(time_i[i].date()):list(postion-set(stock_list_z))})\n",
    "    postion=set(stock_list_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "5f2fd0ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2022-01-07, 买入300836.SZ, 成交量5033，成交价35.99\n",
      "2022-01-07, 买入300274.SZ, 成交量203，成交价875.14\n",
      "2022-01-07, 买入300536.SZ, 成交量2673，成交价66.97\n",
      "2022-01-07, 买入300122.SZ, 成交量366，成交价485.96\n",
      "2022-01-07, 买入300981.SZ, 成交量2223，成交价81.44\n",
      "2022-02-25, 卖出300836.SZ, 成交量-5033，成交价32.91\n",
      "2022-02-25, 卖出300536.SZ, 成交量-2673，成交价55.24\n",
      "2022-02-25, 卖出300122.SZ, 成交量-366，成交价494.75\n",
      "2022-02-25, 卖出300981.SZ, 成交量-2223，成交价72.52\n",
      "2022-02-25, 买入300782.SZ, 成交量189，成交价881.39\n",
      "2022-02-25, 买入300554.SZ, 成交量5262，成交价31.83\n",
      "2022-02-25, 买入300015.SZ, 成交量131，成交价1258.53\n",
      "2022-02-25, 买入300274.SZ, 成交量6，成交价818.56\n",
      "2022-02-25, 买入300124.SZ, 成交量105，成交价1571.69\n",
      "2022-04-12, 卖出300274.SZ, 成交量-209，成交价660.83\n",
      "2022-04-12, 卖出300124.SZ, 成交量-105，成交价1278.36\n",
      "2022-04-12, 卖出300015.SZ, 成交量-131，成交价1162.87\n",
      "2022-04-12, 卖出300782.SZ, 成交量-189，成交价605.34\n",
      "2022-04-12, 卖出300554.SZ, 成交量-5262，成交价27.40\n",
      "2022-04-12, 买入300479.SZ, 成交量2898，成交价47.21\n",
      "2022-04-12, 买入300135.SZ, 成交量3961，成交价34.92\n",
      "2022-04-12, 买入300454.SZ, 成交量1354，成交价102.15\n",
      "2022-04-12, 买入301100.SZ, 成交量5885，成交价23.63\n",
      "2022-04-12, 买入300717.SZ, 成交量6147，成交价22.66\n",
      "2022-05-27, 卖出300454.SZ, 成交量-1354，成交价85.60\n",
      "2022-05-27, 卖出301100.SZ, 成交量-5885，成交价20.74\n",
      "2022-05-27, 卖出300479.SZ, 成交量-2898，成交价34.44\n",
      "2022-05-27, 卖出300717.SZ, 成交量-6147，成交价21.43\n",
      "2022-05-27, 卖出300135.SZ, 成交量-3961，成交价31.47\n",
      "2022-05-27, 买入300736.SZ, 成交量5162，成交价23.28\n",
      "2022-05-27, 买入300158.SZ, 成交量3025，成交价39.97\n",
      "2022-05-27, 买入300417.SZ, 成交量3464，成交价34.65\n",
      "2022-05-27, 买入300665.SZ, 成交量6821，成交价17.62\n",
      "2022-05-27, 买入300779.SZ, 成交量8875，成交价13.55\n",
      "2022-07-11, 卖出300158.SZ, 成交量-3025，成交价37.79\n",
      "2022-07-11, 卖出300665.SZ, 成交量-6821，成交价18.75\n",
      "2022-07-11, 卖出300779.SZ, 成交量-8875，成交价13.76\n",
      "2022-07-11, 卖出300417.SZ, 成交量-3464，成交价38.10\n",
      "2022-07-11, 买入300471.SZ, 成交量1518，成交价81.95\n",
      "2022-07-11, 买入300124.SZ, 成交量78，成交价1563.62\n",
      "2022-07-11, 卖出300736.SZ, 成交量-73，成交价24.59\n",
      "2022-07-11, 买入300478.SZ, 成交量6202，成交价20.10\n",
      "2022-07-11, 买入300750.SZ, 成交量227，成交价536.38\n",
      "2022-08-22, 卖出300478.SZ, 成交量-6202，成交价21.16\n",
      "2022-08-22, 卖出300471.SZ, 成交量-1518，成交价83.02\n",
      "2022-08-22, 卖出300736.SZ, 成交量-5089，成交价27.18\n",
      "2022-08-22, 买入300124.SZ, 成交量4，成交价1521.85\n",
      "2022-08-22, 买入300417.SZ, 成交量3146，成交价40.34\n",
      "2022-08-22, 买入300750.SZ, 成交量9，成交价536.14\n",
      "2022-08-22, 买入300316.SZ, 成交量166，成交价750.00\n",
      "2022-08-22, 买入300717.SZ, 成交量5280，成交价24.09\n",
      "2022-10-11, 卖出300750.SZ, 成交量-236，成交价406.22\n",
      "2022-10-11, 卖出300417.SZ, 成交量-3146，成交价34.07\n",
      "2022-10-11, 卖出300316.SZ, 成交量-166，成交价617.82\n",
      "2022-10-11, 买入300627.SZ, 成交量886，成交价121.95\n",
      "2022-10-11, 卖出300124.SZ, 成交量-5，成交价1414.37\n",
      "2022-10-11, 卖出300717.SZ, 成交量-100，成交价21.46\n",
      "2022-10-11, 买入300478.SZ, 成交量5698，成交价19.27\n",
      "2022-10-11, 买入300321.SZ, 成交量3516，成交价30.64\n",
      "2022-11-22, 卖出300478.SZ, 成交量-5698，成交价20.06\n",
      "2022-11-22, 卖出300717.SZ, 成交量-5180，成交价25.33\n",
      "2022-11-22, 卖出300627.SZ, 成交量-886，成交价123.87\n",
      "2022-11-22, 卖出300321.SZ, 成交量-3516，成交价35.93\n",
      "2022-11-22, 买入300012.SZ, 成交量291，成交价416.90\n",
      "2022-11-22, 卖出300124.SZ, 成交量-7，成交价1766.13\n",
      "2022-11-22, 买入300417.SZ, 成交量2908，成交价41.55\n",
      "2022-11-22, 买入300594.SZ, 成交量6860，成交价17.75\n",
      "2022-11-22, 买入300014.SZ, 成交量80，成交价1502.84\n",
      "2023-01-04, 卖出300012.SZ, 成交量-291，成交价429.73\n",
      "2023-01-04, 卖出300014.SZ, 成交量-80，成交价1533.86\n",
      "2023-01-04, 卖出300594.SZ, 成交量-6860，成交价18.45\n",
      "2023-01-04, 买入300463.SZ, 成交量2148，成交价56.40\n",
      "2023-01-04, 买入300665.SZ, 成交量7092，成交价17.03\n",
      "2023-01-04, 买入300321.SZ, 成交量3683，成交价32.73\n",
      "2023-01-04, 买入300417.SZ, 成交量388，成交价36.67\n",
      "最终资金: 719286.89\n",
      "夏普比率: OrderedDict([('sharperatio', -0.38062207316024615)])\n",
      "回撤指标: AutoOrderedDict([('len', 259), ('drawdown', 30.01809227640902), ('moneydown', 308531.4592023998), ('max', AutoOrderedDict([('len', 259), ('drawdown', 41.96028695723574), ('moneydown', 431275.5269141997)]))])\n"
     ]
    }
   ],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()\n",
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd537805",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "fa8fc1b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74091399",
   "metadata": {},
   "source": [
    "## 基于回归算法的预测股票收益及其策略实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "326da713",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'openinterest', 'return_30',\n",
       "       'return_30_shift30', 'return_30_shift30_01'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_daily.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "b834349f",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy=stock_daily[(stock_daily[\"date\"]>=datetime(2018,1,2))&(stock_daily[\"date\"]<=datetime(2022,1,2))][['市盈率(静态)','总市值(万元)','return_30_shift30']].dropna()\n",
    "xy_s=xy.sample(frac=0.5)\n",
    "xy_s_x=xy_s[['市盈率(静态)','总市值(万元)']].values\n",
    "xy_s_y=xy_s[\"return_30_shift30\"].values\n",
    "x1,x2,y1,y2=train_test_split(xy_s_x,xy_s_y,test_size=0.7)#分割数据出训练集与测试集，0.7是两者行数的比例\n",
    "clf = GradientBoostingRegressor()\n",
    "clf = clf.fit(x1,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "288e3a0e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "21917852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.011869912503168267"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ca5c7f83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1310599815117247"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "f7f3e599",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_i=stock_daily.date.sort_values().unique()\n",
    "top_num=5\n",
    "\n",
    "stock_list=set([])\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "\n",
    "for i in range(975,len(time_i),30):\n",
    "    stock_chi=stock_daily[(stock_daily.date==time_i[i+1])&(stock_daily.open!=stock_daily.close)][\"股票代码\"].tolist()\n",
    "    stock_oneday=stock_daily[(stock_daily.date==time_i[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",'市盈率(静态)','总市值(万元)']].dropna()\n",
    "\n",
    "    stock_oneday[\"scores\"]=clf.predict(stock_oneday[['市盈率(静态)','总市值(万元)']].values)\n",
    "    stock_list_z=stock_oneday.sort_values(\"scores\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    stock_list=stock_list|set(stock_list_z)\n",
    "    buy_date.update({str(time_i[i].date()):stock_list_z})\n",
    "    sell_date.update({str(time_i[i].date()):list(postion-set(stock_list_z))})\n",
    "    postion=set(stock_list_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "612830f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#clf.predict(stock_oneday[['市盈率(静态)','总市值(万元)']].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11547cd6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "88070dd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51e488cb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9c4a76e0",
   "metadata": {},
   "source": [
    "## 基于排名的特征处理在量化策略中的作用\n",
    "\n",
    "* rank(pct=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "dd4ca218",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily[\"return_30\"]=stock_daily.groupby('股票代码').close.pct_change(30)\n",
    "stock_daily[\"return_30_shift30\"]=stock_daily.groupby('股票代码').close.pct_change(30).shift(-30)\n",
    "stock_daily[\"return_30_shift30_01\"]=stock_daily[\"return_30_shift30\"].apply(lambda x:1 if x>0 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "8c6ff51e",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily[\"return_30_shift30_rank\"]=stock_daily.groupby('date')[\"return_30_shift30\"].rank(pct=True)\n",
    "stock_daily[\"shiying_rank\"]=stock_daily.groupby('date')['市盈率(静态)'].rank(pct=True)\n",
    "stock_daily[\"shizhi_rank\"]=stock_daily.groupby('date')['总市值(万元)'].rank(pct=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "bdb0c909",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy=stock_daily[(stock_daily[\"date\"]>=datetime(2018,1,2))&(stock_daily[\"date\"]<=datetime(2022,1,2))][[\"shiying_rank\",\"shizhi_rank\",\"return_30_shift30_rank\"]].dropna()\n",
    "xy_s=xy.sample(frac=0.99)\n",
    "xy_s_x=xy_s[[\"shiying_rank\",\"shizhi_rank\"]].values\n",
    "xy_s_y=xy_s[\"return_30_shift30_rank\"].values\n",
    "x1,x2,y1,y2=train_test_split(xy_s_x,xy_s_y,test_size=0.7)#分割数据出训练集与测试集，0.7是两者行数的比例\n",
    "clf = GradientBoostingRegressor()\n",
    "clf = clf.fit(x1,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "3ba2248e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.014352426281014963"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "414564d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2466569129779337"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "05b8e6c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_i=stock_daily.date.sort_values().unique()\n",
    "top_num=5\n",
    "\n",
    "stock_list=set([])\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "\n",
    "for i in range(975,len(time_i),30):\n",
    "    stock_chi=stock_daily[(stock_daily.date==time_i[i+1])&(stock_daily.open!=stock_daily.close)][\"股票代码\"].tolist()\n",
    "    stock_oneday=stock_daily[(stock_daily.date==time_i[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",\"shiying_rank\",\"shizhi_rank\"]].dropna()\n",
    "\n",
    "    stock_oneday[\"scores\"]=clf.predict(stock_oneday[[\"shiying_rank\",\"shizhi_rank\"]].values)\n",
    "    stock_list_z=stock_oneday.sort_values(\"scores\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    stock_list=stock_list|set(stock_list_z)\n",
    "    buy_date.update({str(time_i[i].date()):stock_list_z})\n",
    "    sell_date.update({str(time_i[i].date()):list(postion-set(stock_list_z))})\n",
    "    postion=set(stock_list_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d199e86e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4e23135",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "519c34b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b97e1797",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5d692ed8",
   "metadata": {},
   "source": [
    "## 网格调参与交叉验证在机器学习量化策略中应用\n",
    "\n",
    "* 网格调参：https://www.cnblogs.com/dalege/p/14175192.html\n",
    "* GBDT 调参：https://blog.csdn.net/lizz2276/article/details/106484117/\n",
    "\n",
    "\n",
    "\n",
    "`GradientBoostingRegressor`是Scikit-learn库中实现梯度提升回归算法的一个模型。在使用`cross_val_score`、`GridSearchCV`等模块进行模型评估或参数调优时，`scoring`参数用于指定评估模型性能的指标。对于回归问题，如`GradientBoostingRegressor`，`scoring`参数可以选取多种回归相关的评价指标，以下是一些常见的选择：\n",
    "\n",
    "1. **均方误差 (Mean Squared Error, MSE)**: 这是最直接的损失函数，用于衡量预测值与真实值之间差异的平方和的平均值。在Scikit-learn中，可以通过字符串 `'neg_mean_squared_error'` 来指定，注意是负值，因为Scikit-learn中的优化目标默认是最大化分数。\n",
    "\n",
    "2. **均方根误差 (Root Mean Squared Error, RMSE)**: 这是MSE的平方根，更直观地反映了预测误差的大小。Scikit-learn没有直接提供RMSE作为字符串参数，但你可以自定义评分函数或者使用 `'neg_root_mean_squared_error'` （如果版本支持的话）。\n",
    "\n",
    "3. **平均绝对误差 (Mean Absolute Error, MAE)**: 衡量预测值与真实值之间的平均绝对差。用 `'neg_mean_absolute_error'` 表示。\n",
    "\n",
    "4. **决定系数 R² (R-squared)**: 又称拟合优度，表示模型解释的变异性占总变异性的比例。在Scikit-learn中用 `'r2'` 表示。\n",
    "\n",
    "5. **调整后的R² (Adjusted R²)**: 类似于R²，但考虑了模型中自变量的数量，对复杂模型有所惩罚，用以避免过拟合问题。Scikit-learn中没有直接的调整后R²字符串参数，可能需要手动计算。\n",
    "\n",
    "6. **平均绝对百分比误差 (Mean Absolute Percentage Error, MAPE)**: 预测误差相对于真实值的百分比的平均值。Scikit-learn没有内置的MAPE作为字符串参数，需要自定义评分函数。\n",
    "\n",
    "7. ** Median Absolute Error**: 中位数绝对误差，是所有观测值的绝对误差的中位数，用 `'median_absolute_error'` 表示。\n",
    "\n",
    "当你在使用这些评分标准时，请确保理解它们的含义以及如何影响你的模型选择和评估过程。在Scikit-learn文档中，你可以找到更多关于[模型评估指标](https://scikit-learn.org/stable/modules/model_evaluation.html)的详细信息。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "73bc53b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = GradientBoostingRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "415bfc14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'alpha': 0.9,\n",
       " 'ccp_alpha': 0.0,\n",
       " 'criterion': 'friedman_mse',\n",
       " 'init': None,\n",
       " 'learning_rate': 0.1,\n",
       " 'loss': 'squared_error',\n",
       " 'max_depth': 3,\n",
       " 'max_features': None,\n",
       " 'max_leaf_nodes': None,\n",
       " 'min_impurity_decrease': 0.0,\n",
       " 'min_samples_leaf': 1,\n",
       " 'min_samples_split': 2,\n",
       " 'min_weight_fraction_leaf': 0.0,\n",
       " 'n_estimators': 100,\n",
       " 'n_iter_no_change': None,\n",
       " 'random_state': None,\n",
       " 'subsample': 1.0,\n",
       " 'tol': 0.0001,\n",
       " 'validation_fraction': 0.1,\n",
       " 'verbose': 0,\n",
       " 'warm_start': False}"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "6052ac86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[80, 85, 90, 95, 100]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(range(80,101,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "6f17964b",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy=stock_daily[(stock_daily[\"date\"]>=datetime(2018,1,2))&(stock_daily[\"date\"]<=datetime(2022,1,2))][[\"shiying_rank\",\"shizhi_rank\",\"return_30_shift30_rank\"]].dropna()\n",
    "xy_s=xy.sample(frac=0.4)\n",
    "xy_s_x=xy_s[[\"shiying_rank\",\"shizhi_rank\"]].values\n",
    "xy_s_y=xy_s[\"return_30_shift30_rank\"].values\n",
    "x1,x2,y1,y2=train_test_split(xy_s_x,xy_s_y,test_size=0.7)#分割数据出训练集与测试集，0.7是两者行数的比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "f36168fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=GradientBoostingRegressor(), n_jobs=-1,\n",
       "             param_grid={&#x27;learning_rate&#x27;: [0.1, 0.2, 0.3],\n",
       "                         &#x27;n_estimators&#x27;: range(80, 101, 5)},\n",
       "             scoring=&#x27;neg_mean_absolute_error&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=GradientBoostingRegressor(), n_jobs=-1,\n",
       "             param_grid={&#x27;learning_rate&#x27;: [0.1, 0.2, 0.3],\n",
       "                         &#x27;n_estimators&#x27;: range(80, 101, 5)},\n",
       "             scoring=&#x27;neg_mean_absolute_error&#x27;)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: GradientBoostingRegressor</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingRegressor()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingRegressor</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingRegressor()</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5, estimator=GradientBoostingRegressor(), n_jobs=-1,\n",
       "             param_grid={'learning_rate': [0.1, 0.2, 0.3],\n",
       "                         'n_estimators': range(80, 101, 5)},\n",
       "             scoring='neg_mean_absolute_error')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "param_test1 = {'n_estimators':range(80,101,5),\"learning_rate\":[0.1,0.2,0.3]}\n",
    "gs = GridSearchCV(GradientBoostingRegressor(),param_grid = param_test1, cv=5,n_jobs=-1, scoring='neg_mean_absolute_error')\n",
    "gs.fit(x1,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "0b80e061",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'learning_rate': 0.3, 'n_estimators': 100}"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "20d90a21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.2467511431398642"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "ed65f6d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.016080496202033667"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y2,gs.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "62e2943e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24610930406376752"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y2,gs.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "47efc3e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#gs.cv_results_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "be689045",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_i=stock_daily.date.sort_values().unique()\n",
    "top_num=5\n",
    "\n",
    "stock_list=set([])\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "\n",
    "for i in range(975,len(time_i),30):\n",
    "    stock_chi=stock_daily[(stock_daily.date==time_i[i+1])&(stock_daily.open!=stock_daily.close)][\"股票代码\"].tolist()\n",
    "    stock_oneday=stock_daily[(stock_daily.date==time_i[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",\"shiying_rank\",\"shizhi_rank\"]].dropna()\n",
    "\n",
    "    stock_oneday[\"scores\"]=gs.predict(stock_oneday[[\"shiying_rank\",\"shizhi_rank\"]].values)\n",
    "    stock_list_z=stock_oneday.sort_values(\"scores\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    stock_list=stock_list|set(stock_list_z)\n",
    "    buy_date.update({str(time_i[i].date()):stock_list_z})\n",
    "    sell_date.update({str(time_i[i].date()):list(postion-set(stock_list_z))})\n",
    "    postion=set(stock_list_z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "29e2de61",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2022-01-07, 买入300836.SZ, 成交量5033，成交价35.99\n",
      "2022-01-07, 买入300274.SZ, 成交量203，成交价875.14\n",
      "2022-01-07, 买入300536.SZ, 成交量2673，成交价66.97\n",
      "2022-01-07, 买入300122.SZ, 成交量366，成交价485.96\n",
      "2022-01-07, 买入300981.SZ, 成交量2223，成交价81.44\n",
      "2022-02-25, 卖出300836.SZ, 成交量-5033，成交价32.91\n",
      "2022-02-25, 卖出300536.SZ, 成交量-2673，成交价55.24\n",
      "2022-02-25, 卖出300122.SZ, 成交量-366，成交价494.75\n",
      "2022-02-25, 卖出300981.SZ, 成交量-2223，成交价72.52\n",
      "2022-02-25, 买入300782.SZ, 成交量189，成交价881.39\n",
      "2022-02-25, 买入300554.SZ, 成交量5262，成交价31.83\n",
      "2022-02-25, 买入300015.SZ, 成交量131，成交价1258.53\n",
      "2022-02-25, 买入300274.SZ, 成交量6，成交价818.56\n",
      "2022-02-25, 买入300124.SZ, 成交量105，成交价1571.69\n",
      "2022-04-12, 卖出300274.SZ, 成交量-209，成交价660.83\n",
      "2022-04-12, 卖出300124.SZ, 成交量-105，成交价1278.36\n",
      "2022-04-12, 卖出300015.SZ, 成交量-131，成交价1162.87\n",
      "2022-04-12, 卖出300782.SZ, 成交量-189，成交价605.34\n",
      "2022-04-12, 卖出300554.SZ, 成交量-5262，成交价27.40\n",
      "2022-04-12, 买入300479.SZ, 成交量2898，成交价47.21\n",
      "2022-04-12, 买入300135.SZ, 成交量3961，成交价34.92\n",
      "2022-04-12, 买入300454.SZ, 成交量1354，成交价102.15\n",
      "2022-04-12, 买入301100.SZ, 成交量5885，成交价23.63\n",
      "2022-04-12, 买入300717.SZ, 成交量6147，成交价22.66\n",
      "2022-05-27, 卖出300454.SZ, 成交量-1354，成交价85.60\n",
      "2022-05-27, 卖出301100.SZ, 成交量-5885，成交价20.74\n",
      "2022-05-27, 卖出300479.SZ, 成交量-2898，成交价34.44\n",
      "2022-05-27, 卖出300717.SZ, 成交量-6147，成交价21.43\n",
      "2022-05-27, 卖出300135.SZ, 成交量-3961，成交价31.47\n",
      "2022-05-27, 买入300736.SZ, 成交量5162，成交价23.28\n",
      "2022-05-27, 买入300158.SZ, 成交量3025，成交价39.97\n",
      "2022-05-27, 买入300417.SZ, 成交量3464，成交价34.65\n",
      "2022-05-27, 买入300665.SZ, 成交量6821，成交价17.62\n",
      "2022-05-27, 买入300779.SZ, 成交量8875，成交价13.55\n",
      "2022-07-11, 卖出300158.SZ, 成交量-3025，成交价37.79\n",
      "2022-07-11, 卖出300665.SZ, 成交量-6821，成交价18.75\n",
      "2022-07-11, 卖出300779.SZ, 成交量-8875，成交价13.76\n",
      "2022-07-11, 卖出300417.SZ, 成交量-3464，成交价38.10\n",
      "2022-07-11, 买入300471.SZ, 成交量1518，成交价81.95\n",
      "2022-07-11, 买入300124.SZ, 成交量78，成交价1563.62\n",
      "2022-07-11, 卖出300736.SZ, 成交量-73，成交价24.59\n",
      "2022-07-11, 买入300478.SZ, 成交量6202，成交价20.10\n",
      "2022-07-11, 买入300750.SZ, 成交量227，成交价536.38\n",
      "2022-08-22, 卖出300478.SZ, 成交量-6202，成交价21.16\n",
      "2022-08-22, 卖出300471.SZ, 成交量-1518，成交价83.02\n",
      "2022-08-22, 卖出300736.SZ, 成交量-5089，成交价27.18\n",
      "2022-08-22, 买入300124.SZ, 成交量4，成交价1521.85\n",
      "2022-08-22, 买入300417.SZ, 成交量3146，成交价40.34\n",
      "2022-08-22, 买入300750.SZ, 成交量9，成交价536.14\n",
      "2022-08-22, 买入300316.SZ, 成交量166，成交价750.00\n",
      "2022-08-22, 买入300717.SZ, 成交量5280，成交价24.09\n",
      "2022-10-11, 卖出300750.SZ, 成交量-236，成交价406.22\n",
      "2022-10-11, 卖出300417.SZ, 成交量-3146，成交价34.07\n",
      "2022-10-11, 卖出300316.SZ, 成交量-166，成交价617.82\n",
      "2022-10-11, 买入300627.SZ, 成交量886，成交价121.95\n",
      "2022-10-11, 卖出300124.SZ, 成交量-5，成交价1414.37\n",
      "2022-10-11, 卖出300717.SZ, 成交量-100，成交价21.46\n",
      "2022-10-11, 买入300478.SZ, 成交量5698，成交价19.27\n",
      "2022-10-11, 买入300321.SZ, 成交量3516，成交价30.64\n",
      "2022-11-22, 卖出300478.SZ, 成交量-5698，成交价20.06\n",
      "2022-11-22, 卖出300717.SZ, 成交量-5180，成交价25.33\n",
      "2022-11-22, 卖出300627.SZ, 成交量-886，成交价123.87\n",
      "2022-11-22, 卖出300321.SZ, 成交量-3516，成交价35.93\n",
      "2022-11-22, 买入300012.SZ, 成交量291，成交价416.90\n",
      "2022-11-22, 卖出300124.SZ, 成交量-7，成交价1766.13\n",
      "2022-11-22, 买入300417.SZ, 成交量2908，成交价41.55\n",
      "2022-11-22, 买入300594.SZ, 成交量6860，成交价17.75\n",
      "2022-11-22, 买入300014.SZ, 成交量80，成交价1502.84\n",
      "2023-01-04, 卖出300012.SZ, 成交量-291，成交价429.73\n",
      "2023-01-04, 卖出300014.SZ, 成交量-80，成交价1533.86\n",
      "2023-01-04, 卖出300594.SZ, 成交量-6860，成交价18.45\n",
      "2023-01-04, 买入300463.SZ, 成交量2148，成交价56.40\n",
      "2023-01-04, 买入300665.SZ, 成交量7092，成交价17.03\n",
      "2023-01-04, 买入300321.SZ, 成交量3683，成交价32.73\n",
      "2023-01-04, 买入300417.SZ, 成交量388，成交价36.67\n",
      "最终资金: 719286.89\n",
      "夏普比率: OrderedDict([('sharperatio', -0.38062207316024615)])\n",
      "回撤指标: AutoOrderedDict([('len', 259), ('drawdown', 30.01809227640902), ('moneydown', 308531.4592023998), ('max', AutoOrderedDict([('len', 259), ('drawdown', 41.96028695723574), ('moneydown', 431275.5269141997)]))])\n"
     ]
    }
   ],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()\n",
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "8f55f078",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a80b1193",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fec1d5a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "663bd9db",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "219d56bb",
   "metadata": {},
   "source": [
    "automl 自动化机器学习\n",
    "\n",
    "https://cloud.tencent.com/developer/article/2069069"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b36f512a",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "171.443px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
